training algorithm
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K-nearest neighbor algorithm — In pattern recognition, the k nearest neighbor algorithm ( k NN) is a method for classifying objects based on closest training examples in the feature space. k NN is a type of instance based learning, or lazy learning where the function is only… … Wikipedia
k-nearest neighbor algorithm — KNN redirects here. For other uses, see KNN (disambiguation). In pattern recognition, the k nearest neighbor algorithm (k NN) is a method for classifying objects based on closest training examples in the feature space. k NN is a type of instance… … Wikipedia
Margin Infused Relaxed Algorithm — (MIRA)[1] is a machine learning algorithm, an online algorithm for multiclass classification problems. It is designed to learn a set of parameters (vector or matrix) by processing all the given training examples one by one and updating the… … Wikipedia
Bees algorithm — The Bees Algorithm is a population based search algorithm first developed in 2005. [Pham DT, Ghanbarzadeh A, Koc E, Otri S, Rahim S and Zaidi M. The Bees Algorithm. Technical Note, Manufacturing Engineering Centre, Cardiff University, UK, 2005]… … Wikipedia
Artificial Bee Colony Algorithm — (ABC) is an optimization algorithm based on the intelligent foraging behaviour of honey bee swarm, proposed by Karaboga in 2005 [D. Karaboga, An Idea Based On Honey Bee Swarm for Numerical Optimization, Technical Report TR06,Erciyes University,… … Wikipedia
C4.5 algorithm — C4.5 is an algorithm used to generate a decision tree developed by Ross Quinlan. C4.5 is an extension of Quinlan s earlier ID3 algorithm. The decision trees generated by C4.5 can be used for classification, and for this reason, C4.5 is often… … Wikipedia
Co-training — is a machine learning algorithm used when there are only small amounts of labeled data and large amounts of unlabeled data. One of its uses is in text mining for search engines. It was introduced by Avrim Blum and Tom Mitchell in 1998. Contents 1 … Wikipedia
Baum-Welch algorithm — In computer science, statistical computing and bioinformatics, the Baum Welch algorithm is used to find the unknown parameters of a hidden Markov model (HMM). It makes use of the forward backward algorithm and is named for Leonard E. Baum and… … Wikipedia
Winnow (algorithm) — The winnow algorithm [Littlestone, N. (1988) Learning Quickly When Irrelevant Attributes About: A New Linear threshold Algorithm Machine Learning 285 318(2)] is a technique from machine learning. It is closely related to the Perceptron, but it… … Wikipedia
Memetic algorithm — Memetic algorithms (MA) represent one of the recent growing areas of research in evolutionary computation. The term MA is now widely used as a synergy of evolutionary or any population based approach with separate individual learning or local… … Wikipedia
Linde-Buzo-Gray algorithm — The Linde Buzo Gray algorithm is a vector quantization algorithm to derive a good codebook.It is similar to the k means method in data clustering.The algorithm At each iteration, each vector is split into two new vectors.*A initial state:… … Wikipedia
